World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
16526
World Ranking
2750
National Ranking
1367

Ethan L. Miller publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ethan L. Miller sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 250 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 560 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 233 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ethan L. Miller D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ethan L. Miller sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to the design of file and storage systems
  • 2013 - ACM Distinguished Member

Overview

Ethan L. Miller is affiliated with the University of California, Santa Cruz in the United States. Their primary field of study is Computer Science, with a particular focus on several subfields including Computer Networks and Communications, Information Systems, Hardware and Architecture, Artificial Intelligence, and Computer Vision and Pattern Recognition.

The main topics in their research include Advanced Data Storage Technologies, Parallel Computing and Optimization Techniques, Cloud Computing and Resource Management, Distributed Systems and Fault Tolerance, Graph Theory and Algorithms, Cloud Data Security Solutions, and Security and Verification in Computing.

Their recent publications feature works across multiple venues. Notable papers include:

  • Twizzler: A Data-centric OS for Non-volatile Memory, 2021, ACM Transactions on Storage
  • Pointers in Far Memory, 2023, Queue
  • Pointers in Far Memory, 2023, Communications of the ACM
  • Rethinking the adversary and operational characteristics of deniable storage, 2022, Journal of Surveillance Security and Safety
  • Analysis and Workload Characterization of the CERN EOS Storage System, 2022, ACM SIGOPS Operating Systems Review

Frequent publication venues for their work include:

  • ACM Transactions on Storage
  • Queue
  • Communications of the ACM
  • Journal of Surveillance Security and Safety
  • ACM SIGOPS Operating Systems Review

They have collaborated regularly with several coauthors, including:

  • Daniel Bittman
  • Pankaj Mehra
  • Peter Alvaro
  • Darrell D. E. Long
  • Achilles Benetopoulos

Ethan L. Miller's contributions have been recognized with awards such as the IEEE Fellow in 2015, granted for contributions to the design of file and storage systems, and the ACM Distinguished Member award in 2013.

Best Publications

  • Ceph: a scalable, high-performance distributed file system

    Sage A. Weil;Scott A. Brandt;Ethan L. Miller;Darrell D. E. Long

  • Evaluation of distributed recovery in large-scale storage systems

    Qin Xin;E.L. Miller;S.J.T.J.E. Schwarz

  • CRUSH: controlled, scalable, decentralized placement of replicated data

    Sage A. Weil;Scott A. Brandt;Ethan L. Miller;Carlos Maltzahn

  • Secure data deduplication

    Mark W. Storer;Kevin Greenan;Darrell D.E. Long;Ethan L. Miller

  • Store, Forget, and Check: Using Algebraic Signatures to Check Remotely Administered Storage

    T.S.J. Schwarz;E.L. Miller

  • Garbage collection in a storage system

    John Colgrove;John Hayes;Ethan Miller;Cary Sandvig

  • Dynamically adjusting an amount of protection data stored in a storage system

    Colgrove John;Hayes John;Hong Bo;Miller Ethan

  • Measurement and analysis of large-scale network file system workloads

    Andrew W. Leung;Shankar Pasupathy;Garth Goodson;Ethan L. Miller

  • Dynamic Metadata Management for Petabyte-Scale File Systems

    Sage A. Weil;Kristal T. Pollack;Scott A. Brandt;Ethan L. Miller

  • The effectiveness of deduplication on virtual machine disk images

    Keren Jin;Ethan L. Miller

  • Pergamum: replacing tape with energy efficient, reliable, disk-based archival storage

    Mark W. Storer;Kevin M. Greenan;Ethan L. Miller;Kaladhar Voruganti

  • Logical sector mapping in a flash storage array

    John Colgrove;John Hayes;Ethan Miller;Feng Wang

  • Reliability mechanisms for very large storage systems

    Qin Xin;E.L. Miller;T. Schwarz;D.D.E. Long

  • Efficient metadata management in large distributed storage systems

    S.A. Brandt;E.L. Miller;D.D.E. Long;Lan Xue

  • Mapping in a storage system

    John Colgrove;John Hayes;Ethan Miller;Cary Sandvig

  • Method for removing duplicate data from a storage array

    John Colgrove;John Hayes;Ethan Miller;Joseph S. Hasbani

  • File System Workload Analysis For Large Scale Scientific Com puting Applications

    Feng Wang;Qin Xin;Bo Hong;Scott A. Brandt

  • Variable length encoding in a storage system

    John Colgrove;John Hayes;Ethan Miller

  • Managing flash crowds on the Internet

    I. Ari;B. Hong;E.L. Miller;S.A. Brandt

  • Disk scrubbing in large archival storage systems

    T.J.E. Schwarz;Qin Xin;E.L. Miller;D.D.E. Long

Frequent Co-Authors

Darrell D. E. Long
Darrell D. E. Long University of California, Santa Cruz
Scott A. Brandt
Scott A. Brandt University of California, Santa Cruz
Randy H. Katz
Randy H. Katz University of California, Berkeley
David A. Patterson
David A. Patterson University of California, Berkeley
Peter M. Chen
Peter M. Chen University of Michigan–Ann Arbor
David S. Ebert
David S. Ebert University of Oklahoma
Srinivasan Seshan
Srinivasan Seshan Carnegie Mellon University
Garth A. Gibson
Garth A. Gibson Carnegie Mellon University
Ian Soboroff
Ian Soboroff National Institute of Standards and Technology
Jeffrey K. Hollingsworth
Jeffrey K. Hollingsworth University of Maryland, College Park

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a variety of online degrees and career options. Many students look to related fields, such as engineering, physics, and data science, for specialized knowledge and flexible learning formats.

For those interested in engineering, consider the cheapest mechanical engineering degree online programs, which offer affordable options for developing technical skills crucial to both software and hardware careers. Similarly, earning an online physics bachelor's degree provides a strong analytical foundation, bridging theoretical concepts with practical applications in computing.

As data-driven decision-making becomes more critical in the tech industry, following a structured data science learning path can prepare you for high-demand roles like data analyst or machine learning engineer. Additionally, those interested in electronics and innovation should review the top online electrical engineering schools in the USA for programs that complement computer science studies.

By exploring these related online degrees, you can diversify your skillset and expand your potential career opportunities in technology.

Best Scientists Citing Ethan L. Miller

Trending Scientists

Recently Published Articles